4.6 Article

The Influence of Artificial Intelligence on E-Governance and Cybersecurity in Smart Cities: A Stakeholder's Perspective

期刊

IEEE ACCESS
卷 11, 期 -, 页码 69783-69797

出版社

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/ACCESS.2023.3293480

关键词

Artificial intelligence; cybersecurity; e-Governance; stakeholder involvement; machine learning; computer crime; smart cities; data privacy

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Artificial intelligence (AI) is seen as a crucial technology in protecting computer network systems against cyber-attacks and enhancing cybersecurity through e-Governance. The relationship between AI, e-Governance, and cybersecurity is complex and context-specific. This study explores the direct relationship between AI, e-Governance, and cybersecurity, as well as the mediating role of e-Governance and the moderating effect of stakeholder involvement. The results show that e-Governance partially mediates the relationship between AI and cybersecurity, and stakeholder involvement moderates the relationships between AI and e-Governance, and e-Governance and cybersecurity. Stakeholder involvement is vital in ensuring a vibrant, transparent, and secured cyberspace for e-services. This study has practical implications for strengthening cybersecurity measures in smart cities.
Artificial intelligence (AI) has been identified as a critical technology of Fourth Industrial Revolution (Industry 4.0) for protecting computer network systems against cyber-attacks, malware, phishing, damage, or illicit access. AI has potential in strengthening the cyber capabilities and safety of nation-states, local governments, and non-state entities through e-Governance. Existing research provides a mixed association between AI, e-Governance, and cybersecurity; however, this relationship is believed to be context-specific. AI, e-Governance, and cybersecurity influence and are affected by various stakeholders possessing a variety of knowledge and expertise in respective areas. To fill this context specific gap, this study investigates the direct relationship between AI, e-Governance, and cybersecurity. Furthermore, this study examines the mediating role of e-Governance between AI and cybersecurity and moderating effect of stakeholders involvement on the relationship between AI, e-Governance, and cybersecurity. The results of PLS-SEM path modeling analysis revealed a partial mediating impact of e-Governance between AI and cybersecurity. Likewise, moderating influence of stakeholders involvement was discovered on the relationship between AI and e-Governance, as well as between e-Governance and cybersecurity. It implies that stakeholders involvement has vital significance in AI and e-Governance because all stakeholders have interest in vibrant, transparent, and secured cyberspace while using e-services. This study provides practical implications for governmental bodies of smart cities for strengthening their cybersecurity measures.

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